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Data derived from artificial intelligence as a preferential innovative tool for asset management.
CMC • January 22, 2021
Understanding metadata trends..
Significant amounts of metadata in asset management have gone largely unnoticed for many years due to their zero-sum characteristics. That’s because portfolio managers prefer to keep their strategies to themselves as long as possible from competitors..
It’s CMC metadata approach is just as quick as the outsized competition, but more accurate and nuanced that any we’ve tried..
Analysts try to find an excess return strategy by organising data, preprocessing it and backtesting many approaches. Numerous iterations are required from different angles - which approach works better, which measure-based strategy works better..If there is a way to expedite the analytical process to find excess return strategies and automatically generate investment strategies without employing thousands of algorithms, then finding metadata derived from AI of lower cost is not only possible, but also less time-consuming..
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Technology-enabled efficiences and customer-centric innovations offer distinct potential for growth that extends well beyond the future circumstances. Currently, there is still a perception among business leaders that the use of technology-enabled services has a little or no impact on true business value. Business leaders must be able to access various sources of information to make decisions where they can advance the "art of the possible" - technology systems and platforms that create significant business value.
In a transaction context, sustainable and responsible investments are often described as ESG, which stands for "Environmental, Social and Governance".